
太湖流域农业经营集约化管理研究
A study of intensive management of the agricultural operations in the Taihu Lake Basin
Shi Jianpeng、Jin Miao、Ren Ze、Huang Xianzhong、Li Xunxiang
就解决太湖水体富营养化最主要的污染源——农业面污染源,根据微观经济学原理建立了农业集约化管理模型。以GIS为平台估算其耕地面积和化肥的科学施用量,用SPSS相关性分析当地居民的问卷调查,对集约化管理产生的经济效益和环境效益进行详细分析,得出农业面源污染物总氮、总磷排放比2005年各下降21 %和16 %。结论显示在太湖流域套用集约化管理能够很好地控制农业面污染源,将农业面污染源的问题与实际社会成本、农业体制改革结合,从根本上解决农业面污染源。
This paper sets up an intensive management model to control agricultural non-point sources of water pollution the most important contributor in the Taihu water body, according to the principles of micro-economics. We have used GIS as a platform to estimate the arable land and the amount of fertilizer application. By using SPSS correlation analysis on the survey date of local residents, we have conducted a detailed analysis on the economic and environmental benefits of the intensive management. We have estimated that the total nitrogen and total phosphorus emissions decline from the agricultural non-point source is 21 percent and 16 percent than that in 2005. It is concluded that the intensive management can be effectively used to control agricultural non-point sources of pollution in the Taihu Lake Basin. In dealing with the agricultural non-point sources of pollution, we are proposing to fundamentally solve the problem of the agricultural non-point sources of pollution by connecting the social and the actual costs with structural reform in agriculture.
太湖 / 农业面源污染 / 集约化管理 / GIS / SPSS
the Taihu Lake water pollution / agricultural non-point source / intensive management / GIS / SPSS
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